Principal Audio/DSP Systems Engineer
AI summary of the role
Lead architect and optimization of end-to-end deployment pipelines for compact audio AI models on DSP/NPU targets for hearable/wearable devices.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Architect and optimize end-to-end deployment pipelines for compact audio AI models from trained model through quantization, profiling, and production deployment on DSP/NPU targets
- Define and drive DSP/NPU partitioning strategies, balancing workload allocation, memory bandwidth, latency, and power across processing elements on the SoC
- Own simulation-to-RTL validation flows: develop bit-exact reference models, collaborate with RTL teams on functional verification, and close gaps between algorithmic intent and hardware behavior
- Perform low-level implementation and optimization of signal processing and neural network kernels for fixed-point DSP and NPU instruction sets
What you’ll bring
- PhD in Electrical Engineering, signal processing, or related field
- 10+ years in audio/speech signal processing within a semiconductor environment, with significant hands-on deployment experience on DSP and/or NPU platforms
- Demonstrated expertise in fixed-point algorithm implementation, model quantization (PTQ/QAT), and cycle-level optimization for resource-constrained processors
- Strong working knowledge of simulation-to-RTL flows: bit-exact modeling, RTL co-simulation, and functional verification collaboration with design teams
Technologies
DSP · NPU · RTL · fixed-point · TensorFlow · TFLite · PyTorch · ONNX · MATLAB · SIMD
About Analog Devices
Designs analog, mixed-signal, power, RF and edge-processing semiconductors that convert real-world signals into digital intelligence for industrial, automotive and communications systems.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Principal Audio/DSP Systems Engineer Responsibilities: Architect and optimize end-to-end deployment pipelines for compact audio AI models from trained model through quantization, profiling, and production deployment on DSP/NPU targets Define and drive DSP/NPU partitioning
More from the job description
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Principal Audio/DSP Systems Engineer Responsibilities: Architect and optimize end-to-end deployment pipelines for compact audio AI models from trained model through quantization, profiling, and production deployment on DSP/NPU targets Define and drive DSP/NPU partitioning strategies, balancing workload allocation, memory bandwidth, latency, and power across processing elements on the SoC Own simulation-to-RTL validation flows: develop bit-exact reference models, collaborate with RTL teams on functional verification, and close gaps between algorithmic intent and hardware behavior Perform low-level implementation and optimization of signal processing and neural network kernels for fixed-point DSP and NPU instruction sets, maximizing utilization of MAC arrays, SIMD [... source excerpt omitted ...] ntribute to audio ASIC system architecture definition — informing hardware spec decisions (precision, buffer sizes, DMA structures, NPU config) based on algorithmic and deployment requirements Generate IP (patents) and represent the team's technical depth to OEM customers in automotive and hearable segments Mentor engineers in deployment best practices, embedded optimization, and hardware-aware algorithm design Required Qualifications: PhD in Electrical Engineering, signal processing, or related field 10+ years in audio/speech signal processing within a semiconductor environment, with significant hands-on deployment experience on DSP and/or NPU platforms Demonstrated expertise [... source excerpt omitted ...] , instruction set architectures, and memory optimization for embedded AI inference Solid foundation in array signal processing, beamforming, and acoustic system design Preferred Qualifications: Direct experience with NPU/accelerator architectures (dataflow engines, weight-stationary/output-stationary designs) and their programming models Familiarity with ASIC development cycles — from algorithm freeze through tapeout and silicon validation Background in always-on, sub-mW audio processing for hearable, TWS, or wearable products Track record of US patents in audio signal processing or embedded ML Experience technically leading a small engineering team For positions requiring acce
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